{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "欢迎大家学习https://www.captainbed.net\n",
    "\n",
    "下面我将手把手教大家编写第一个人工智能程序！用它可以识别出一张图片中是否有猫。如你如见，我们是在Jupyter Notebook环境中进行编程的，因为它既可以编写/执行代码又可以像文档一样写文章，很适合教学。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "首先我们先加载一些工具库。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np # 加载numpy工具库并给它取个别名为np，后面就可以通过np来调用numpy工具库里面的函数了。numpy是python的一个科学计算工具库，\n",
    "                    # 除了前面文章中提到的它可以用来进行向量化之外，它还有很多常用的功能。非常非常常用的一个工具库！\n",
    "import matplotlib.pyplot as plt # 这个库是用来画图的\n",
    "\n",
    "import h5py # 这个库是用来加载训练数据集的。我们数据集的保存格式是HDF。Hierarchical Data Format(HDF)是一种针对大量数据进行组织和存储的\n",
    "            #  文件格式,大数据行业和人工智能行业都用它来保存数据。\n",
    "import skimage.transform as tf # 这里我们用它来缩放图片\n",
    "\n",
    "#这是jupyter notebook里的命令, 意思是将那些用matplotlib绘制的图显示在页面里而不是弹出一个窗口\n",
    "%matplotlib inline "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "能看到这篇文章了，相信你前面的文章已经都看了，那么也就知道了人工智能是需要用很多数据来进行训练的。\n",
    "\n",
    "我已经为大家准备好了数据。文档同目录下的datasets文件夹就是存放数据集的地方。\n",
    "\n",
    "下面这个函数用于加载这些数据。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "def load_dataset():\n",
    "    train_dataset = h5py.File('datasets/train_catvnoncat.h5', \"r\") # 加载训练数据\n",
    "    train_set_x_orig = np.array(train_dataset[\"train_set_x\"][:]) # 从训练数据中提取出图片的特征数据\n",
    "    train_set_y_orig = np.array(train_dataset[\"train_set_y\"][:]) # 从训练数据中提取出图片的标签数据\n",
    "\n",
    "    test_dataset = h5py.File('datasets/test_catvnoncat.h5', \"r\") # 加载测试数据\n",
    "    test_set_x_orig = np.array(test_dataset[\"test_set_x\"][:]) \n",
    "    test_set_y_orig = np.array(test_dataset[\"test_set_y\"][:]) \n",
    "\n",
    "    classes = np.array(test_dataset[\"list_classes\"][:]) # 加载标签类别数据，这里的类别只有两种，1代表有猫，0代表无猫\n",
    "        \n",
    "    train_set_y_orig = train_set_y_orig.reshape((1, train_set_y_orig.shape[0])) # 把数组的维度从(209,)变成(1, 209)，这样好方便后面进行计算\n",
    "    test_set_y_orig = test_set_y_orig.reshape((1, test_set_y_orig.shape[0])) # 从(50,)变成(1, 50)\n",
    "    \n",
    "    return train_set_x_orig, train_set_y_orig, test_set_x_orig, test_set_y_orig, classes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 调用上面定义的函数将数据加载到各个变量中\n",
    "train_set_x_orig, train_set_y, test_set_x_orig, test_set_y, classes = load_dataset()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "下面我们随便挑一张图片将其显示出来，给大家一个直观的认识。下面的index你们可以随便改动。图片的像素很低，是因为如果用高像素图片的话就会需要更多的计算时间。我的目的只是教学，所以没有必要用高像素的图片。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "标签为[0], 这是一个'non-cat' 图片.\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x20f8756e8d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "index = 30\n",
    "plt.imshow(train_set_x_orig[index])\n",
    "print (\"标签为\" + str(train_set_y[:, index]) + \", 这是一个'\" + classes[np.squeeze(train_set_y[:, index])].decode(\"utf-8\") +  \"' 图片.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "train_set_x_orig shape: (209, 64, 64, 3)\n",
      "train_set_y shape: (1, 209)\n",
      "test_set_x_orig shape: (50, 64, 64, 3)\n",
      "test_set_y shape: (1, 50)\n"
     ]
    }
   ],
   "source": [
    "# 我们要清楚变量的维度，否则后面会出很多问题。下面我把他们的维度打印出来。\n",
    "print (\"train_set_x_orig shape: \" + str(train_set_x_orig.shape))\n",
    "print (\"train_set_y shape: \" + str(train_set_y.shape))\n",
    "print (\"test_set_x_orig shape: \" + str(test_set_x_orig.shape))\n",
    "print (\"test_set_y shape: \" + str(test_set_y.shape))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "上面train_set_x_orig的各维度的含义分别是(样本数，图片宽，图片长，3个RGB通道)\n",
    "\n",
    "我们后面要用到样本数和长宽像素值，下面我分别把它们提取出来了。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "训练样本数: m_train = 209\n",
      "测试样本数: m_test = 50\n",
      "每张图片的宽/高: num_px = 64\n"
     ]
    }
   ],
   "source": [
    "m_train = train_set_x_orig.shape[0]\n",
    "m_test = test_set_x_orig.shape[0]\n",
    "num_px = test_set_x_orig.shape[1] # 由于我们的图片是正方形的，所以长宽相等\n",
    "\n",
    "print (\"训练样本数: m_train = \" + str(m_train))\n",
    "print (\"测试样本数: m_test = \" + str(m_test))\n",
    "print (\"每张图片的宽/高: num_px = \" + str(num_px))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "train_set_x_flatten shape: (12288, 209)\n",
      "test_set_x_flatten shape: (12288, 50)\n"
     ]
    }
   ],
   "source": [
    "# 为了方便后面进行矩阵运算，我们需要将样本数据进行扁平化和转置\n",
    "# 处理后的数组各维度的含义是（图片数据，样本数）\n",
    "\n",
    "train_set_x_flatten = train_set_x_orig.reshape(train_set_x_orig.shape[0], -1).T\n",
    "test_set_x_flatten = test_set_x_orig.reshape(test_set_x_orig.shape[0], -1).T \n",
    "\n",
    "print (\"train_set_x_flatten shape: \" + str(train_set_x_flatten.shape))\n",
    "print (\"test_set_x_flatten shape: \" + str(test_set_x_flatten.shape))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 下面我们对特征数据进行了简单的标准化处理（除以255，使所有值都在[0，1]范围内）\n",
    "# 为什么要对数据进行标准化处理呢？简单来说就是为了方便后面进行计算，详情以后再给大家解释\n",
    "\n",
    "train_set_x = train_set_x_flatten/255.\n",
    "test_set_x = test_set_x_flatten/255."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "上面我们已经加载了数据，并且对数据进行了预处理，使其便于进行后面的运算。\n",
    "后面我们将会构建一个如下图所示的神经网络模型来对上面的数据进行运算。"
   ]
  },
  {
   "attachments": {
    "TIM%E5%9B%BE%E7%89%8720180630153721.png": {
     "image/png": "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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![TIM%E5%9B%BE%E7%89%8720180630153721.png](attachment:TIM%E5%9B%BE%E7%89%8720180630153721.png)"
   ]
  },
  {
   "attachments": {
    "TIM%E5%9B%BE%E7%89%8720180630155809.png": {
     "image/png": "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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "为了构建上面的神经网络，我们需要先编写一些工具函数，这些函数会对上面的数据进行特定功能的运算。最后再将这些单独的函数组合起来，构建出一个神经网络模型。\n",
    "\n",
    "第一个编写的工具函数是sigmoid。前面文章我已经介绍过它了，sigmoid函数的作用就是把预测结果转换为0和1之间的值，不明白的复习下前面的文章。\n",
    "\n",
    "下面是sigmoid的数学公式和图示。\n",
    "![TIM%E5%9B%BE%E7%89%8720180630155809.png](attachment:TIM%E5%9B%BE%E7%89%8720180630155809.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "def sigmoid(z):\n",
    "    \"\"\"\n",
    "    参数:\n",
    "    z -- 一个数值或者一个numpy数组.\n",
    "    返回值:\n",
    "    s -- 经过sigmoid算法计算后的值，在[0,1]范围内\n",
    "    \"\"\"\n",
    "    s = 1 / (1 + np.exp(-z))    \n",
    "    return s"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "def initialize_with_zeros(dim):\n",
    "    \"\"\"\n",
    "    这个函数用于初始化权重数组w和偏置/阈值b.\n",
    "    \n",
    "    参数:\n",
    "    dim -- w的大小，看上面的神经网络模型图可知，dim在本例中是12288，因为一个特征输入对应一个权重。\n",
    "    \n",
    "    返回值:\n",
    "    w -- 权重数组\n",
    "    b -- 偏置bias\n",
    "    \"\"\"\n",
    "\n",
    "    w = np.zeros((dim,1))\n",
    "    b = 0\n",
    "    \n",
    "    return w, b"
   ]
  },
  {
   "attachments": {
    "TIM%E5%9B%BE%E7%89%8720180630180747.png": {
     "image/png": "iVBORw0KGgoAAAANSUhEUgAAATcAAAAfCAIAAAANyB2KAAAHIklEQVR4Ae1avXmzMBDG3xROxxik8wZO6XQpMwKZwIyQMp0p4w3cmTHo7C38vYck9AuIPwf7kQpbSKe79/6EOFjdbrcotGCBYIEFW+DfgrEFaMECwQJkgZClIQ6CBZZugZClS/dQwBcsELI0xECwwNItELJ06R4K+IIFQpaGGAgWWLoFQpYu3UMBX7DAI2Rpka2M9pZfn8Z11/wtK1RtoK6un0WhUvfqF5nkLKwqR8BKJejFeWbiyXDBlivT3JoFhivi7SZvQokFXzUsvJ33+zMgXg7b7eFCWC+HAw08Q5NKcW0wAN9wRWsNabQyQj0yoHPeKzy4UcmqkTJ8u4HKlD5A1qRLNOCjOIMTmmnJKVS2HNmKs68/o1ZuC5rsZ4YFAW+BAp3MiAG1W1M3bQtzY+q8b0g+O0YbSQ2W97mcGI075UcKGeCcXkse4cRL+9/1lEe7zZq6T9OKn/dkk3iqs97simzwQf+aZ0WD+eKY7t5qA6j3H+0Qrs7et28DpzPrip4Jqg6dXquzu36M7QtynMqWIz0w9vLng2TpMybptSy2cewdT+s4OZalN7lOWJbHJHbvcWWZpDt9ColblMt48reBr3e/uA8l5c9nlB62xSl7O21wg+SAxdO2Usjwyt8xKtuObMfIXNPHnx5ZWuSDt3A9VMwr/5KAlaRss2J7KtjWl0ZlwJRoXTOnyvKBPySLlTkATF7xYa677/U1Lzep7/38vtAapVE0FPHmd1PmoIm/0xj7HT8pJKl1Dv8T9dow2op1hV1nlhbZK9li6kZ5ddr8Gpt4gxQrSSO2WaEOwDjg+MDLKz1dkqTYl4WHIT1J0/Klb6o7UCP7P6PvnmAcfGYeKrLPyPvMPTMWb/YUDUm6SfB/jHYfu7UdHt685iLsibEr7DqytMiyYtt0Vhqu4jX/zHcX3yB2e2G9S/dfJzyW0IMJUuLmZocHm7ajgMUbm/E5eh13F8TOFvH9o8VGfY48YGOfq1p4m1OuAx12Er5PXvO8sqNYZR8zxczd/23g8BiCOqly8/CNbR5PheNLFmNUth3pg1H3Z0fYtbzTqMpQ7pqYdaxoHQAP2VBqlDwhgmbqSid/QUAL2BgnAI1doqTb4OFSoWwWfzns2fsbNwkV9w4MXg2iocrqZmCPMljaONdif4Ziih4O6JzSVtdBq4moL8h2tPysv73Rq5i1GKIVthYsdFIxOvu/F3B6U1Q5ChowSzJVFKu2AGUiLIXp/ZMfA263Dkf6YAQnGXAMcq2SpYEaNPokC++mlbW+lZf5j0tT0ouNnw88XbBWpZSXRMuhi/d5Oibjiug1VsY8XbZnaaVGJRI9aTWn1hWtqi71VUWYdEUJNkDrGGvq6QssYrbE+tXQWbP1ALFjAqinKEQU4KELr5epHSz0oFJXTNGfAPhwGL4qT+FIjtLtz0YgTY4TwY2FMngHGEKBI7rkEZWnuIbIrQiyOqNbRUqzmWTE025W+AlIWK4pKiCZbH2uwVOVo1462WqCnQK6Kdgyjb0qt+baecvoJKhZTdmZAPhwOL4qqwbVAAvRvm7SQ02spn8nW5pwf9VA5HVTM4qWVA2Y7aZGZ00mltcQaKkYFLxwTYnJLeH1cRFoq4OHxopJVX/FdqOOib7iIKBT0XMggrD6J9xWUxdVVKSmHNTZVpA1nlNeaNx1wVOKmZ7XIwDX7akhntAg4CtjR+Hrqh5d8x8UY1hDIDvf6Tkq3rebVbJVnpDxQH1krFAQsIIdr73KeLeupkqI7yo8okR82qBeZBcXLNbNA8WpftNvFJGAO7JqZn4qo5QgJWpsUVP62ncpJtf27RUnyR3VuQkqKn0RDKR/BOD3caQz7Miq/8xqJuL/M0J5m5mc1o1r7E08hc1xz96eUxxrL82Rake8/2LRfXzPpHinaHqJI15z4BVMlJ+uTrquQZmkRfaS76hcqDT35qQQNHVJm7I0Z1FQff2KZkxSKRD2eXk/Kq+X5NSyew8BfGZHNoSdcl+l+kLV2F2Xzm68dZwqVR5Gv2aisjAODPKAC2qVzuDFDu7TIXRiI5mYcB48LDzOAXW1IoJ3W/Vz8nMMMl4GK8V7rDtCBymzYmVyquQ7xJt0tFgfcyGfB7hUoW/PpTL3Hj2r8a6hfl8hDnow1o1V07ifS+vpmTrNeGYS2IstvDTOBaMZeMH1q7B5seogkttoB6Hn9P2QewKyyaZW2ZZgjbREjeu5VNxB5/tf43yZv8gP8+aT1Jszjl34JMH9hYQvsyTFhxETfMHULA/nrtUJD/LNFFPNsOeL6R6n74d8sAWmVtkHSHvYrZDSPlzmoMHXi+WHVXGaQ5I3zwkhwe4/8e+4dPfGHQgf2gJdYfeXWfrQhg3ggwXuZoG/OfHeTb0gKFjgCSwQsvQJnBhUeHILhCx9cgcH9Z7AAiFLn8CJrSqgqLrIYnor6DCpWeA/XNSDwqJnhj8AAAAASUVORK5CYII="
    },
    "TIM%E5%9B%BE%E7%89%8720180630180810.png": {
     "image/png": "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"
    },
    "TIM%E5%9B%BE%E7%89%8720180630180839.png": {
     "image/png": "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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "下面的函数用于执行前向传播，计算出成本cost；以及执行反向传播，计算出w和b的偏导数/梯度，后面会被用来进行梯度下降。\n",
    "\n",
    "前向传播会用到下面两个公式\n",
    "![TIM%E5%9B%BE%E7%89%8720180630180747.png](attachment:TIM%E5%9B%BE%E7%89%8720180630180747.png)\n",
    "![TIM%E5%9B%BE%E7%89%8720180630180810.png](attachment:TIM%E5%9B%BE%E7%89%8720180630180810.png)\n",
    "反向传播会用到下面两个公式，计算dw和db。\n",
    "![TIM%E5%9B%BE%E7%89%8720180630180839.png](attachment:TIM%E5%9B%BE%E7%89%8720180630180839.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "def propagate(w, b, X, Y):\n",
    "    \"\"\"\n",
    "    参数:\n",
    "    w -- 权重数组，维度是(12288, 1)\n",
    "    b -- 偏置bias\n",
    "    X -- 图片的特征数据，维度是 (12288, 209)\n",
    "    Y -- 图片对应的标签，0或1，0是无猫，1是有猫，维度是(1,209)\n",
    "\n",
    "    返回值:\n",
    "    cost -- 成本\n",
    "    dw -- w的梯度\n",
    "    db -- b的梯度\n",
    "    \"\"\"\n",
    "    \n",
    "    m = X.shape[1]\n",
    "    \n",
    "    # 前向传播\n",
    "    A = sigmoid(np.dot(w.T, X) + b)                             \n",
    "    cost = -np.sum(Y*np.log(A) + (1-Y)*np.log(1-A)) / m  \n",
    "    \n",
    "    # 反向传播\n",
    "    dZ = A - Y\n",
    "    dw = np.dot(X,dZ.T) / m\n",
    "    db = np.sum(dZ) / m\n",
    "    \n",
    "    # 将dw和db保存到字典里面\n",
    "    grads = {\"dw\": dw,\n",
    "             \"db\": db}\n",
    "    \n",
    "    return grads, cost"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "下面的函数通过梯度下降算法来更新参数w和b，达到越来越优化的目的。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "def optimize(w, b, X, Y, num_iterations, learning_rate, print_cost = False):\n",
    "    \"\"\"    \n",
    "    参数:\n",
    "    w -- 权重数组，维度是 (12288, 1)\n",
    "    b -- 偏置bias\n",
    "    X -- 图片的特征数据，维度是 (12288, 209)\n",
    "    Y -- 图片对应的标签，0或1，0是无猫，1是有猫，维度是(1,209)\n",
    "    num_iterations -- 指定要优化多少次\n",
    "    learning_rate -- 学习步进，是我们用来控制优化步进的参数\n",
    "    print_cost -- 为True时，每优化100次就把成本cost打印出来,以便我们观察成本的变化\n",
    "    \n",
    "    返回值:\n",
    "    params -- 优化后的w和b\n",
    "    costs -- 每优化100次，将成本记录下来，成本越小，表示参数越优化\n",
    "    \"\"\"\n",
    "    \n",
    "    costs = []\n",
    "    \n",
    "    for i in range(num_iterations):        \n",
    "        grads, cost = propagate(w, b, X, Y) # 计算得出梯度和成本\n",
    "                \n",
    "        # 从字典中取出梯度\n",
    "        dw = grads[\"dw\"]\n",
    "        db = grads[\"db\"]\n",
    "        \n",
    "        # 进行梯度下降，更新参数，使其越来越优化，使成本越来越小\n",
    "        w = w - learning_rate * dw\n",
    "        b = b - learning_rate * db\n",
    "        \n",
    "        # 将成本记录下来\n",
    "        if i % 100 == 0:\n",
    "            costs.append(cost)\n",
    "            if print_cost:\n",
    "                print (\"优化%i次后成本是: %f\" %(i, cost))\n",
    "    \n",
    "    params = {\"w\": w,\n",
    "              \"b\": b}\n",
    "    return params, costs"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "上面的函数会得出优化后的参数w和b。训练神经网络，其实就是通过使用海量数据来进行训练，从而得出这些优化后的参数。有了这些参数后，我们就可以使用它们来进行预测了，对于本文章来说，也就是可以用这些参数来对新的任意图片进行预测了——预测图片里有猫或没有猫——最后面会告诉大家如何来预测你自己提供的任意图片。\n",
    "\n",
    "下面这个函数会使用输入的参数w和b来对输入的待预测数据X进行预测。X可以是一张图片也可以是多张图片，当多张图片时，函数会给出对每张图片的预测结果。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "def predict(w, b, X):\n",
    "    '''    \n",
    "    参数:\n",
    "    w -- 权重数组，维度是 (12288, 1)\n",
    "    b -- 偏置bias\n",
    "    X -- 图片的特征数据，维度是 (12288, 图片张数)\n",
    "    \n",
    "    返回值:\n",
    "    Y_prediction -- 对每张图片的预测结果\n",
    "    '''    \n",
    "    m = X.shape[1]\n",
    "    Y_prediction = np.zeros((1,m))\n",
    "       \n",
    "    A = sigmoid(np.dot(w.T, X) + b)  # 通过这行代码来对图片进行预测\n",
    "    \n",
    "    # 上面得出的预测结果是小数的形式，为了方便后面显示，我们将其转换成0和1的形式（大于等于0.5就是1/有猫，小于0.5就是0/无猫）\n",
    "    for i in range(A.shape[1]):\n",
    "        if A[0,i] >= 0.5:\n",
    "            Y_prediction[0,i] = 1\n",
    "    \n",
    "    return Y_prediction"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "到此，我们已经编写了所需的所有工具函数了。下面我们将这些函数组合起来，构建出一个最终的神经网络模型函数。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "def model(X_train, Y_train, X_test, Y_test, num_iterations = 2000, learning_rate = 0.5, print_cost = False):\n",
    "    \"\"\"    \n",
    "    参数:\n",
    "    X_train -- 训练图片,维度是(12288, 209)\n",
    "    Y_train -- 训练图片对应的标签,维度是 (1, 209)\n",
    "    X_test -- 测试图片,维度是(12288, 50)\n",
    "    Y_test -- 测试图片对应的标签,维度是 (1, 50)\n",
    "    num_iterations -- 需要训练/优化多少次\n",
    "    learning_rate -- 学习步进，是我们用来控制优化步进的参数\n",
    "    print_cost -- 为True时，每优化100次就把成本cost打印出来,以便我们观察成本的变化\n",
    "    \n",
    "    返回值:\n",
    "    d -- 返回一些信息\n",
    "    \"\"\"\n",
    "    \n",
    "    # 初始化待训练的参数\n",
    "    w, b = initialize_with_zeros(X_train.shape[0])\n",
    "\n",
    "    # 使用训练数据来训练/优化参数\n",
    "    parameters, costs = optimize(w, b, X_train, Y_train, num_iterations, learning_rate, print_cost)\n",
    "    \n",
    "    # 从字典中分别取出训练好的w和b\n",
    "    w = parameters[\"w\"]\n",
    "    b = parameters[\"b\"]\n",
    "    \n",
    "    # 使用训练好的w和b来分别对训练图片和测试图片进行预测\n",
    "    Y_prediction_train = predict(w, b, X_train)\n",
    "    Y_prediction_test = predict(w, b, X_test)\n",
    "    \n",
    "    # 打印出预测的准确率\n",
    "    print(\"对训练图片的预测准确率为: {}%\".format(100 - np.mean(np.abs(Y_prediction_train - Y_train)) * 100))\n",
    "    print(\"对测试图片的预测准确率为: {}%\".format(100 - np.mean(np.abs(Y_prediction_test - Y_test)) * 100))\n",
    "\n",
    "    \n",
    "    d = {\"costs\": costs,\n",
    "         \"Y_prediction_test\": Y_prediction_test, \n",
    "         \"Y_prediction_train\" : Y_prediction_train, \n",
    "         \"w\" : w, \n",
    "         \"b\" : b,\n",
    "         \"learning_rate\" : learning_rate,\n",
    "         \"num_iterations\": num_iterations}\n",
    "    \n",
    "    return d"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "优化0次后成本是: 0.693147\n",
      "优化100次后成本是: 0.584508\n",
      "优化200次后成本是: 0.466949\n",
      "优化300次后成本是: 0.376007\n",
      "优化400次后成本是: 0.331463\n",
      "优化500次后成本是: 0.303273\n",
      "优化600次后成本是: 0.279880\n",
      "优化700次后成本是: 0.260042\n",
      "优化800次后成本是: 0.242941\n",
      "优化900次后成本是: 0.228004\n",
      "优化1000次后成本是: 0.214820\n",
      "优化1100次后成本是: 0.203078\n",
      "优化1200次后成本是: 0.192544\n",
      "优化1300次后成本是: 0.183033\n",
      "优化1400次后成本是: 0.174399\n",
      "优化1500次后成本是: 0.166521\n",
      "优化1600次后成本是: 0.159305\n",
      "优化1700次后成本是: 0.152667\n",
      "优化1800次后成本是: 0.146542\n",
      "优化1900次后成本是: 0.140872\n",
      "对训练图片的预测准确率为: 99.04306220095694%\n",
      "对测试图片的预测准确率为: 70.0%\n"
     ]
    }
   ],
   "source": [
    "# 调用上面的模型函数对我们最开始加载的数据进行训练\n",
    "d = model(train_set_x, train_set_y, test_set_x, test_set_y, num_iterations = 2000, learning_rate = 0.005, print_cost = True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "从上面打印出的信息可知，随着优化的次数越来越多，成本越来越小，说明优化后的参数使预测越来越准确了。\n",
    "对于训练图片的预测准确率达到了99%。\n",
    "对于测试图片是70%，其实已经很不错了，因为出于教学的目的，我们的训练数据集很小，而且构建的是最最简单的单神经元神经网络，后面我会教大家构建更加强大更加复杂的神经网络的！"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "这张图的标签是 1, 预测结果是 1\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x20f87578f98>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 这里我们可以改变index，来看看哪些图片预测对了\n",
    "index = 8\n",
    "plt.imshow(test_set_x[:,index].reshape((num_px, num_px, 3)))\n",
    "print (\"这张图的标签是 \" + str(test_set_y[0,index]) + \", 预测结果是 \" + str(int(d[\"Y_prediction_test\"][0,index])))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x20f8769d3c8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 下面我们打印出成本随着训练次数增加时的变化情况。可以很直观的看出，训练次数越多，成本越小，也就是预测结果更精确\n",
    "costs = np.squeeze(d['costs'])\n",
    "plt.plot(costs)\n",
    "plt.ylabel('cost') # 成本\n",
    "plt.xlabel('iterations (per hundreds)') # 横坐标为训练次数，以100为单位\n",
    "plt.title(\"Learning rate =\" + str(d[\"learning_rate\"]))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "选择一个正确的学习步进/学习率很重要。选错了，那么你的神经网络可能会永远找不到损失函数的最小值处，即你的神经网络预测得永远不会很准。下面我使用了3个不同的学习率来给大家直观地展示展示它们对训练过程的影响。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "学习率为: 0.01时\n",
      "对训练图片的预测准确率为: 99.52153110047847%\n",
      "对测试图片的预测准确率为: 68.0%\n",
      "\n",
      "-------------------------------------------------------\n",
      "\n",
      "学习率为: 0.001时\n",
      "对训练图片的预测准确率为: 88.99521531100478%\n",
      "对测试图片的预测准确率为: 64.0%\n",
      "\n",
      "-------------------------------------------------------\n",
      "\n",
      "学习率为: 0.0001时\n",
      "对训练图片的预测准确率为: 68.42105263157895%\n",
      "对测试图片的预测准确率为: 36.0%\n",
      "\n",
      "-------------------------------------------------------\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x20f876444a8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "learning_rates = [0.01, 0.001, 0.0001]\n",
    "models = {}\n",
    "for i in learning_rates:\n",
    "    print (\"学习率为: \" + str(i) + \"时\")\n",
    "    models[str(i)] = model(train_set_x, train_set_y, test_set_x, test_set_y, num_iterations = 1500, learning_rate = i, print_cost = False)\n",
    "    print ('\\n' + \"-------------------------------------------------------\" + '\\n')\n",
    "\n",
    "for i in learning_rates:\n",
    "    plt.plot(np.squeeze(models[str(i)][\"costs\"]), label= str(models[str(i)][\"learning_rate\"]))\n",
    "\n",
    "plt.ylabel('cost')\n",
    "plt.xlabel('iterations (hundreds)')\n",
    "\n",
    "legend = plt.legend(loc='upper center', shadow=True)\n",
    "frame = legend.get_frame()\n",
    "frame.set_facecolor('0.90')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "可以看到，上面其它的代码都是一样的，只有学习率不同，就会导致预测的准确率不同。在以后的文章中，我会教大家如何选择合适的学习率。\n",
    "\n",
    "到此，你已经学会了构建一个最简单的神经网络了。看懂了本篇文章，那就说明你已经入门人工智能领域了。恭喜恭喜！\n",
    "\n",
    "下面的代码向大家展示了如何使用上面构建的神经网络来预测我们自己的图片。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "预测结果为 0\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x20f87719cc0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 在本文档的同目录下创建一个文件夹images,把你的任意图片改名成my_image1.jpg后放入文件夹\n",
    "my_image = \"my_image1.jpg\" \n",
    "fname = \"images/\" + my_image\n",
    "\n",
    "image = np.array(plt.imread(fname))\n",
    "my_image = tf.resize(image,(num_px,num_px), mode='reflect').reshape((1, num_px*num_px*3)).T\n",
    "my_predicted_image = predict(d[\"w\"], d[\"b\"], my_image)\n",
    "\n",
    "plt.imshow(image)\n",
    "print(\"预测结果为 \" + str(int(np.squeeze(my_predicted_image))))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "上面我给的文件不是一只猫，而是一个女优，所以我们的神经网络的预测结果为0。\n",
    "\n",
    "你已经入门人工智能领域了，后面的教程我会教大家构建更强大的人工智能程序。\n",
    "\n",
    "庆祝庆祝吧！借着上面图片带来的激情去释放一下吧！爽！！"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
